Abstract

Performance evaluation of small and medium-sized enterprises (SMEs) was the valuable problem for theresearchers and the stakeholders of SMEs, which was not only for internal managers to control over the entireorganization, but also for external stakeholders to familiar the SMEs. The author collected the data of 164 SMEsin east of China in 2011, and used two-step clustering method, k-means clustering method, system clusteringmethod, neural networks method, and amended support vector machine method to analyses this problems ofimbalanced multi-classification. The results of amended support vector machine were better than the results ofthe others.

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